{"data":{"id":"10.17026/dans-xs8-raum","type":"dois","attributes":{"doi":"10.17026/dans-xs8-raum","prefix":"10.17026","suffix":"dans-xs8-raum","identifiers":[{"identifier":"easy-dataset:326611","identifierType":":unav"}],"alternateIdentifiers":[{"alternateIdentifierType":":unav","alternateIdentifier":"easy-dataset:326611"}],"creators":[{"name":"van der Sande, M.T.","nameType":"Personal","givenName":"M.T.","familyName":"van der Sande","affiliation":["Forest Ecology and Forest Management. Wageningen University \u0026amp; Research"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-6845-2308","nameIdentifierScheme":"ORCID"}]},{"name":"M.B. Bush","nameType":"Personal","affiliation":["Florida Institute of Technology"],"nameIdentifiers":[]},{"name":"D.H. Urrego","nameType":"Personal","affiliation":["University of Exeter"],"nameIdentifiers":[]},{"name":"M. Silman","nameType":"Personal","affiliation":["Wake Forest University"],"nameIdentifiers":[]},{"name":"W. Farfan-Rios","nameType":"Personal","affiliation":["Washington University in Saint Louis"],"nameIdentifiers":[]},{"name":"K. García Cabrera","nameType":"Personal","affiliation":["Wake Forest University"],"nameIdentifiers":[]},{"name":"A. Shenkin","nameType":"Personal","affiliation":["University of Oxford, Oxford"],"nameIdentifiers":[]},{"name":"Y. Malhi","nameType":"Personal","affiliation":["University of Oxford"],"nameIdentifiers":[]},{"name":"C.H. McMichael","nameType":"Personal","affiliation":[],"nameIdentifiers":[]},{"name":"W. Gosling","nameType":"Personal","affiliation":["University of Amsterdam"],"nameIdentifiers":[]}],"titles":[{"title":"Data from: Modern pollen rain predicts shifts in plant trait composition but not plant diversity along the Andes-Amazon elevational gradient"}],"publisher":"DANS Data Station Life Sciences","container":{},"publicationYear":2020,"subjects":[{"subject":"Agricultural Sciences"},{"subject":"Medicine, Health and Life Sciences"},{"subject":"diversity"},{"subject":"elevation"},{"subject":"functional traits"},{"subject":"pollen"},{"subject":"R-rel values"},{"subject":"richness"},{"subject":"taphonomy"},{"subject":"tropical Andes"},{"subject":"tropical forest"}],"contributors":[{"name":"Wageningen University \u0026amp; Research","nameType":"Organizational","affiliation":[],"contributorType":"Distributor","nameIdentifiers":[]},{"name":"Data Librarian","nameType":"Organizational","affiliation":["Wageningen UR"],"contributorType":"ContactPerson","nameIdentifiers":[]}],"dates":[{"date":"2023-11-23","dateType":"Issued"},{"date":"2020-07-16","dateType":"Created"},{"date":"2023-11-23","dateType":"Submitted"},{"date":"2020-07-16","dateType":"Available"},{"date":"2026-03-03","dateType":"Updated"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["24290","6242","5793","3100","12164","2386","21172"],"formats":["application/zip","text/tab-separated-values","text/tab-separated-values","text/plain","text/tab-separated-values","text/tab-separated-values","text/plain"],"version":"1.1","rightsList":[{"rightsUri":"info:eu-repo/semantics/openAccess"},{"lang":"en","rights":"Creative Commons Attribution Share Alike 4.0 International","rightsUri":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-sa-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"\u0026lt;p\u0026gt;We used 82 modern pollen samples and 59 vegetation plots along the elevation gradient, and calculated CWM traits and diversity indices for each pollen sample and vegetation plot. We also quantified the degree to which taxa are over- or underrepresented by their pollen, by dividing the relative pollen abundance by the relative basal area abundance in the nearby vegetation survey plots (i.e. the R-rel values).\u0026lt;/p\u0026gt;","descriptionType":"Abstract"},{"description":"Date Submitted: 2023-11-23","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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